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Neural Networks : the Official Journal of the International Neural Network Society|April 7, 2018
Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clusteringYang Wang, Lin Wu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 3, 2018
Cycle-Consistent Deep Generative Hashing for Cross-Modal RetrievalLin Wu, Yang Wang, Ling Shao
IEEE Transactions on Cybernetics|January 24, 2017
Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning MethodLin Wu, Yang Wang, Shirui Pan
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 20, 2017
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark RetrievalYang Wang, Xuemin Lin, Lin Wu, et al.
IEEE Transactions on Cybernetics|July 12, 2018
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual RecognitionLin Wu, Yang Wang, Xue Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 5, 2019
3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person ReidentificationLin Wu, Yang Wang, Ling Shao, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Multiview Spectral Clustering via Structured Low-Rank Matrix FactorizationYang Wang, Lin Wu, Xuemin Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 20, 2019
Few-Shot Deep Adversarial Learning for Video-based Person Re-identificationLin Wu, Yang Wang, Hongzhi Yin, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 17, 2015
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View DiffusionYang Wang, Wenjie Zhang, Lin Wu, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 10, 2015
Robust Subspace Clustering for Multi-View Data by Exploiting Correlation ConsensusYang Wang, Xuemin Lin, Lin Wu, et al.
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